Structure-Mechanics Relation of Natural Rubber: Insights from Molecular Dynamics Simulations

被引:43
作者
Chen, Qionghai [1 ,2 ]
Zhang, Zhiyu [1 ,2 ]
Huang, Yongdi [3 ]
Zhao, Hengheng [1 ,2 ]
Chen, Zhudan [4 ]
Gao, Ke [1 ,2 ]
Yue, Tongkui [1 ,2 ]
Zhang, Liqun [1 ,2 ,5 ]
Liu, Jun [1 ,2 ,5 ]
机构
[1] Beijing Univ Chem Technol, Key Lab Beijing City Preparat & Proc Novel Polyme, Beijing 100029, Peoples R China
[2] Beijing Univ Chem Technol, Beijing Engn Res Ctr Adv Elastomers, Beijing 100029, Peoples R China
[3] Beijing Univ Chem Technol, Coll Math & Phys, Beijing 100029, Peoples R China
[4] Beijing Univ Chem Technol, Inst Automat, Beijing 100029, Peoples R China
[5] Beijing Univ Chem Technol, State Key Lab Organ Inorgan Composites, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
natural rubber; stress-strain behavior; strain-induced crystallization; molecular dynamics simulation; extreme gradient boosting; machine learning; STRAIN-INDUCED CRYSTALLIZATION; POLYMER MELTS; BEHAVIOR; NANOCOMPOSITES; POLYETHYLENE; COMPONENTS; NETWORKS; STRENGTH; VISCOELASTICITY; DEFORMATION;
D O I
10.1021/acsapm.2c00147
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Attributed to its strain-induced crystallization (SIC), compared to other elastomeric materials and has been attracting numerous scientific and technological attention. However, a systematical understanding of the structure-mechanics relation of NR is still lacking. Herein, for the first time, we employ molecular dynamics simulation to examine the effects of the key structural factors on the SIC and mechanical properties at the molecular level. We examine the effects of phospholipid and protein mass fraction (w), the strength of hydrogen-bond interaction (eH), and the strength of non-hydrogen-bond interaction (eNH) on structural morphology, dynamic behavior, and mechanical properties. NR tends to form local clusters due to the hydrogen-bond interaction formed between phospholipids or proteins and chain ends, which is absent in the case of cis-1,4-polyisoprene (PIP). The polymer chain mobility of NR is retarded due to the formed clusters or even physical network at great eH and high w. Interestingly, we find that the stress-strain behavior of NR is greatly manipulated by eH and w, as evidenced by the increase of the chain orientation and the SIC, compared with the cases of PIP. This underlying mechanism results from the alignment of the molecular chains induced by the formed clusters along the deformed direction, and the clusters during the deformation become more stable, particularly at great eH. Lastly, we adopt a machine learning algorithm named extreme gradient boosting via data augmentation, finding that eH has the most significant influencing weight factor on the stress-strain behavior of NR. In general, this work demonstrates a detailed molecular-level structure-mechanics relation of NR and provides some rational guidelines for experimentally designing and synthesizing biomimetic NR.
引用
收藏
页码:3575 / 3586
页数:12
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